In a few previous comments here, I point out how we integrate ML as a major driver of progress in our areas, e.g. such as molecular machines simulation tools, and how it affects our focus with respect to whole brain emulations. I give a longer review of how computing and AI progress affects each of our technical domains in this Breakthroughs in Computing Series by Protocol Labs: https://www.youtube.com/watch?v=lBvkFZycXRQ
With respect to Foresight’s role in safe AI progress, I think Foresight’s comparative advantage lies in bringing computer security inspired lens to AI development:
This is largely due to Foresight Senior Fellow Mark Miller, who, in 1996, gave this talk on Computer Security as the Future of Law (http://www.caplet.com/security/futurelaw), and together with Eric Drexler, published the foundational Agoric Open Systems Papers (https://papers.agoric.com/papers/), laying out a general model of cooperation enabled by voluntary rules, that applies not only to today’s human economy, but may be transferable to a future ecology, populated by human and AI intelligences.
Mark built on the Agoric papers by following the computer security thread as a necessary condition for building systems in which both humans and AIs could voluntarily cooperate. Recently this thinking culminated in Mark, Christine Peterson (Foresight’s co-founder) and me co-authoring the book Gaming the Future, focusing on specific cryptography and security tools that may help secure human AI cooperation on the path to paretotopian futures: https://foresight.org/gaming-the-future-the-book.
I think Miller’s and Drexler’s work on reframing the traditionally singleton-focused AI safety in terms of secure coordination across human and AI entities that relies on the respect of boundaries is now more relevant than ever, given A infosecurity risks, that have become a larger focus within AI alignment. I have a longer Lesswrong post on this coming next weekend.
In a few previous comments here, I point out how we integrate ML as a major driver of progress in our areas, e.g. such as molecular machines simulation tools, and how it affects our focus with respect to whole brain emulations. I give a longer review of how computing and AI progress affects each of our technical domains in this Breakthroughs in Computing Series by Protocol Labs: https://www.youtube.com/watch?v=lBvkFZycXRQ
With respect to Foresight’s role in safe AI progress, I think Foresight’s comparative advantage lies in bringing computer security inspired lens to AI development:
This is largely due to Foresight Senior Fellow Mark Miller, who, in 1996, gave this talk on Computer Security as the Future of Law (http://www.caplet.com/security/futurelaw), and together with Eric Drexler, published the foundational Agoric Open Systems Papers (https://papers.agoric.com/papers/), laying out a general model of cooperation enabled by voluntary rules, that applies not only to today’s human economy, but may be transferable to a future ecology, populated by human and AI intelligences.
Mark built on the Agoric papers by following the computer security thread as a necessary condition for building systems in which both humans and AIs could voluntarily cooperate. Recently this thinking culminated in Mark, Christine Peterson (Foresight’s co-founder) and me co-authoring the book Gaming the Future, focusing on specific cryptography and security tools that may help secure human AI cooperation on the path to paretotopian futures: https://foresight.org/gaming-the-future-the-book.
I think Miller’s and Drexler’s work on reframing the traditionally singleton-focused AI safety in terms of secure coordination across human and AI entities that relies on the respect of boundaries is now more relevant than ever, given A infosecurity risks, that have become a larger focus within AI alignment. I have a longer Lesswrong post on this coming next weekend.